当前位置:
X-MOL 学术
›
Int. J. Robust Nonlinear Control
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
H∞ optimal control of unknown linear systems by adaptive dynamic programming with applications to time-delay systems
International Journal of Robust and Nonlinear Control ( IF 3.2 ) Pub Date : 2021-06-08 , DOI: 10.1002/rnc.5557 Huai‐Yuan Jiang 1 , Bin Zhou 1 , Guo‐Ping Liu 2
International Journal of Robust and Nonlinear Control ( IF 3.2 ) Pub Date : 2021-06-08 , DOI: 10.1002/rnc.5557 Huai‐Yuan Jiang 1 , Bin Zhou 1 , Guo‐Ping Liu 2
Affiliation
In this paper, a new value iteration (VI) based method is proposed to solve the H∞ control problem of continuous-time linear systems. The problem is transformed into solving a nonlinear differential equation, and the local stability of its solution is proved. Then a VI based iteration scheme for getting the approximation of the H∞ optimal controller is proposed. Compared with the existing results, the proposed scheme does not need any special initial matrix or extra condition to solve the problem and provides a relatively small disturbance attenuation bound. The related result is also applied to the quadratic guaranteed cost control of linear time-delay systems. Simulation examples verify the effectiveness of the proposed schemes.
中文翻译:
自适应动态规划对未知线性系统的 H∞ 最优控制,并在时滞系统中的应用
在本文中,提出了一种新的基于值迭代(VI)的方法来解决连续时间线性系统的H ∞控制问题。将该问题转化为求解非线性微分方程,并证明其解的局部稳定性。然后提出了一种基于VI 的迭代方案,用于获得H ∞最优控制器的近似值。与现有结果相比,所提出的方案不需要任何特殊的初始矩阵或额外条件来解决问题,并且提供了相对较小的扰动衰减界限。相关结果也适用于线性时滞系统的二次保证成本控制。仿真实例验证了所提出方案的有效性。
更新日期:2021-07-09
中文翻译:
自适应动态规划对未知线性系统的 H∞ 最优控制,并在时滞系统中的应用
在本文中,提出了一种新的基于值迭代(VI)的方法来解决连续时间线性系统的H ∞控制问题。将该问题转化为求解非线性微分方程,并证明其解的局部稳定性。然后提出了一种基于VI 的迭代方案,用于获得H ∞最优控制器的近似值。与现有结果相比,所提出的方案不需要任何特殊的初始矩阵或额外条件来解决问题,并且提供了相对较小的扰动衰减界限。相关结果也适用于线性时滞系统的二次保证成本控制。仿真实例验证了所提出方案的有效性。